Overview

Dataset statistics

Number of variables8
Number of observations184
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory66.7 B

Variable types

Numeric2
Text3
DateTime3

Dataset

Description국방기술품질원에서 수행하고 있는 국방품질경영체제 인증에 대한 현황입니다. 인증번호, 업체명, 인증년도, 최초인증, 유효기간 등이 포함되어 있습니다.
Author국방기술품질원
URLhttps://www.data.go.kr/data/15052703/fileData.do

Alerts

인증번호 is highly overall correlated with 인증년도High correlation
인증년도 is highly overall correlated with 인증번호High correlation
인증번호 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:56:05.774424
Analysis finished2023-12-12 02:56:07.021700
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.625
Minimum1
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T11:56:07.115331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.15
Q172.5
median157.5
Q3214.25
95-th percentile254.85
Maximum264
Range263
Interquartile range (IQR)141.75

Descriptive statistics

Standard deviation81.743472
Coefficient of variation (CV)0.57313565
Kurtosis-1.2925865
Mean142.625
Median Absolute Deviation (MAD)69
Skewness-0.23079485
Sum26243
Variance6681.9952
MonotonicityStrictly increasing
2023-12-12T11:56:07.280367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
203 1
 
0.5%
192 1
 
0.5%
193 1
 
0.5%
195 1
 
0.5%
197 1
 
0.5%
198 1
 
0.5%
199 1
 
0.5%
200 1
 
0.5%
201 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
11 1
0.5%
ValueCountFrequency (%)
264 1
0.5%
263 1
0.5%
262 1
0.5%
261 1
0.5%
260 1
0.5%
259 1
0.5%
258 1
0.5%
257 1
0.5%
256 1
0.5%
255 1
0.5%

업체명
Text

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T11:56:07.578558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.0217391
Min length3

Characters and Unicode

Total characters1292
Distinct characters229
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)100.0%

Sample

1st row㈜한화 대전사업장
2nd row㈜LIG넥스원
3rd row한화시스템㈜
4th row한화에어로스페이스㈜ 항공엔진사업부
5th row㈜풍산 안강사업장
ValueCountFrequency (%)
㈜한화 5
 
2.2%
주식회사 5
 
2.2%
㈜동원f&b 3
 
1.3%
㈜풍산 2
 
0.9%
엠플러스에프엔씨㈜ 2
 
0.9%
한화디펜스㈜ 2
 
0.9%
창원공장 2
 
0.9%
제2공장 2
 
0.9%
stx엔진㈜ 2
 
0.9%
㈜오뚜기 2
 
0.9%
Other values (202) 205
88.4%
2023-12-12T11:56:08.042786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 163
 
12.6%
60
 
4.6%
업 42
 
3.3%
공 41
 
3.2%
스 38
 
2.9%
사 29
 
2.2%
장 28
 
2.2%
산 26
 
2.0%
한 23
 
1.8%
이 22
 
1.7%
Other values (219) 820
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1025
79.3%
Other Symbol 163
 
12.6%
Space Separator 60
 
4.6%
Uppercase Letter 30
 
2.3%
Other Punctuation 6
 
0.5%
Decimal Number 5
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 42
 
4.1%
공 41
 
4.0%
스 38
 
3.7%
사 29
 
2.8%
장 28
 
2.7%
산 26
 
2.5%
한 23
 
2.2%
이 22
 
2.1%
화 20
 
2.0%
대 20
 
2.0%
Other values (200) 736
71.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
16.7%
T 5
16.7%
S 5
16.7%
F 4
13.3%
G 3
10.0%
L 2
 
6.7%
X 2
 
6.7%
I 1
 
3.3%
N 1
 
3.3%
C 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
1 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 163
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Punctuation
ValueCountFrequency (%)
& 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1188
92.0%
Common 73
 
5.7%
Latin 31
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 163
 
13.7%
업 42
 
3.5%
공 41
 
3.5%
스 38
 
3.2%
사 29
 
2.4%
장 28
 
2.4%
산 26
 
2.2%
한 23
 
1.9%
이 22
 
1.9%
화 20
 
1.7%
Other values (201) 756
63.6%
Latin
ValueCountFrequency (%)
B 5
16.1%
T 5
16.1%
S 5
16.1%
F 4
12.9%
G 3
9.7%
L 2
 
6.5%
X 2
 
6.5%
I 1
 
3.2%
N 1
 
3.2%
C 1
 
3.2%
Other values (2) 2
 
6.5%
Common
ValueCountFrequency (%)
60
82.2%
& 6
 
8.2%
2 4
 
5.5%
) 1
 
1.4%
( 1
 
1.4%
1 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1025
79.3%
None 163
 
12.6%
ASCII 104
 
8.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 163
100.0%
ASCII
ValueCountFrequency (%)
60
57.7%
& 6
 
5.8%
B 5
 
4.8%
T 5
 
4.8%
S 5
 
4.8%
F 4
 
3.8%
2 4
 
3.8%
G 3
 
2.9%
L 2
 
1.9%
X 2
 
1.9%
Other values (8) 8
 
7.7%
Hangul
ValueCountFrequency (%)
업 42
 
4.1%
공 41
 
4.0%
스 38
 
3.7%
사 29
 
2.8%
장 28
 
2.7%
산 26
 
2.5%
한 23
 
2.2%
이 22
 
2.1%
화 20
 
2.0%
대 20
 
2.0%
Other values (200) 736
71.8%

인증년도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.5435
Minimum1999
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T11:56:08.241039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile1999
Q12004.5
median2013
Q32016
95-th percentile2019.85
Maximum2020
Range21
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.9767969
Coefficient of variation (CV)0.003470105
Kurtosis-1.2895239
Mean2010.5435
Median Absolute Deviation (MAD)5
Skewness-0.38025641
Sum369940
Variance48.675695
MonotonicityIncreasing
2023-12-12T11:56:08.518904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2016 19
 
10.3%
2015 14
 
7.6%
2001 13
 
7.1%
2018 13
 
7.1%
2000 13
 
7.1%
1999 12
 
6.5%
2013 11
 
6.0%
2017 11
 
6.0%
2020 10
 
5.4%
2019 10
 
5.4%
Other values (11) 58
31.5%
ValueCountFrequency (%)
1999 12
6.5%
2000 13
7.1%
2001 13
7.1%
2002 5
 
2.7%
2003 3
 
1.6%
2005 3
 
1.6%
2006 5
 
2.7%
2007 10
5.4%
2008 5
 
2.7%
2009 8
4.3%
ValueCountFrequency (%)
2020 10
5.4%
2019 10
5.4%
2018 13
7.1%
2017 11
6.0%
2016 19
10.3%
2015 14
7.6%
2014 5
 
2.7%
2013 11
6.0%
2012 4
 
2.2%
2011 7
 
3.8%

최초인증
Date

Distinct146
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1999-06-29 00:00:00
Maximum2020-09-03 00:00:00
2023-12-12T11:56:08.686669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:56:08.894933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간(시작일)
Date

Distinct144
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2017-05-18 00:00:00
Maximum2020-10-11 00:00:00
2023-12-12T11:56:09.143612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:56:09.367059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간(종료일)
Date

Distinct140
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2020-05-14 00:00:00
Maximum2023-10-10 00:00:00
2023-12-12T11:56:09.597726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:56:09.806459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지
Text

Distinct183
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T11:56:10.315013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length22.125
Min length14

Characters and Unicode

Total characters4071
Distinct characters240
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)98.9%

Sample

1st row대전광역시 유성구 외삼로 8번길 99
2nd row경상북도 구미시 산호대로 354-25
3rd row경상북도 구미시 1공단로 244
4th row경상남도 창원시 성산구 창원대로 1204
5th row경상북도 경주시 안강읍 호국로 2606-10
ValueCountFrequency (%)
경상남도 46
 
5.0%
경기도 44
 
4.7%
창원시 30
 
3.2%
부산광역시 23
 
2.5%
성산구 22
 
2.4%
강서구 12
 
1.3%
경상북도 12
 
1.3%
김해시 9
 
1.0%
구미시 9
 
1.0%
공단로 8
 
0.9%
Other values (518) 712
76.8%
2023-12-12T11:56:11.100285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
749
 
18.4%
시 174
 
4.3%
로 158
 
3.9%
1 143
 
3.5%
도 129
 
3.2%
구 118
 
2.9%
경 112
 
2.8%
2 99
 
2.4%
산 95
 
2.3%
남 86
 
2.1%
Other values (230) 2208
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2510
61.7%
Space Separator 749
 
18.4%
Decimal Number 707
 
17.4%
Dash Punctuation 40
 
1.0%
Close Punctuation 26
 
0.6%
Open Punctuation 26
 
0.6%
Other Punctuation 6
 
0.1%
Uppercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 174
 
6.9%
로 158
 
6.3%
도 129
 
5.1%
구 118
 
4.7%
경 112
 
4.5%
산 95
 
3.8%
남 86
 
3.4%
길 79
 
3.1%
상 63
 
2.5%
광 55
 
2.2%
Other values (210) 1441
57.4%
Decimal Number
ValueCountFrequency (%)
1 143
20.2%
2 99
14.0%
3 83
11.7%
4 68
9.6%
6 61
8.6%
7 56
 
7.9%
8 54
 
7.6%
5 49
 
6.9%
9 47
 
6.6%
0 47
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
S 1
25.0%
A 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2510
61.7%
Common 1557
38.2%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 174
 
6.9%
로 158
 
6.3%
도 129
 
5.1%
구 118
 
4.7%
경 112
 
4.5%
산 95
 
3.8%
남 86
 
3.4%
길 79
 
3.1%
상 63
 
2.5%
광 55
 
2.2%
Other values (210) 1441
57.4%
Common
ValueCountFrequency (%)
749
48.1%
1 143
 
9.2%
2 99
 
6.4%
3 83
 
5.3%
4 68
 
4.4%
6 61
 
3.9%
7 56
 
3.6%
8 54
 
3.5%
5 49
 
3.1%
9 47
 
3.0%
Other values (6) 148
 
9.5%
Latin
ValueCountFrequency (%)
F 1
25.0%
S 1
25.0%
A 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2510
61.7%
ASCII 1561
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
749
48.0%
1 143
 
9.2%
2 99
 
6.3%
3 83
 
5.3%
4 68
 
4.4%
6 61
 
3.9%
7 56
 
3.6%
8 54
 
3.5%
5 49
 
3.1%
9 47
 
3.0%
Other values (10) 152
 
9.7%
Hangul
ValueCountFrequency (%)
시 174
 
6.9%
로 158
 
6.3%
도 129
 
5.1%
구 118
 
4.7%
경 112
 
4.5%
산 95
 
3.8%
남 86
 
3.4%
길 79
 
3.1%
상 63
 
2.5%
광 55
 
2.2%
Other values (210) 1441
57.4%

전화번호
Text

Distinct183
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T11:56:11.457503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.059783
Min length11

Characters and Unicode

Total characters2219
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)98.9%

Sample

1st row042-829-2712
2nd row054-469-8820
3rd row054-460-8752
4th row055-260-2380
5th row054-760-6287
ValueCountFrequency (%)
055-280-6240 2
 
1.1%
043-535-7324 1
 
0.5%
070-4169-0909 1
 
0.5%
063-260-8983 1
 
0.5%
055-600-9913 1
 
0.5%
055-322-8301 1
 
0.5%
031-366-0093 1
 
0.5%
043-530-5599 1
 
0.5%
063-715-2505 1
 
0.5%
031-495-5319 1
 
0.5%
Other values (173) 173
94.0%
2023-12-12T11:56:12.366476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 368
16.6%
0 356
16.0%
5 276
12.4%
1 217
9.8%
3 198
8.9%
2 189
8.5%
4 168
7.6%
6 124
 
5.6%
7 122
 
5.5%
8 107
 
4.8%
Other values (2) 94
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1849
83.3%
Dash Punctuation 368
 
16.6%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 356
19.3%
5 276
14.9%
1 217
11.7%
3 198
10.7%
2 189
10.2%
4 168
9.1%
6 124
 
6.7%
7 122
 
6.6%
8 107
 
5.8%
9 92
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 368
16.6%
0 356
16.0%
5 276
12.4%
1 217
9.8%
3 198
8.9%
2 189
8.5%
4 168
7.6%
6 124
 
5.6%
7 122
 
5.5%
8 107
 
4.8%
Other values (2) 94
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 368
16.6%
0 356
16.0%
5 276
12.4%
1 217
9.8%
3 198
8.9%
2 189
8.5%
4 168
7.6%
6 124
 
5.6%
7 122
 
5.5%
8 107
 
4.8%
Other values (2) 94
 
4.2%

Interactions

2023-12-12T11:56:06.473249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:56:06.228594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:56:06.603992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:56:06.349476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:56:12.514628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호인증년도
인증번호1.0000.979
인증년도0.9791.000
2023-12-12T11:56:12.647997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호인증년도
인증번호1.0000.998
인증년도0.9981.000

Missing values

2023-12-12T11:56:06.776143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:56:06.956382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

인증번호업체명인증년도최초인증유효기간(시작일)유효기간(종료일)소재지전화번호
01㈜한화 대전사업장19991999-06-292020-06-292023-06-28대전광역시 유성구 외삼로 8번길 99042-829-2712
12㈜LIG넥스원19991999-07-232020-07-232023-07-22경상북도 구미시 산호대로 354-25054-469-8820
23한화시스템㈜19991999-08-242020-08-242023-08-23경상북도 구미시 1공단로 244054-460-8752
34한화에어로스페이스㈜ 항공엔진사업부19991999-08-302020-08-302023-08-29경상남도 창원시 성산구 창원대로 1204055-260-2380
45㈜풍산 안강사업장19991999-08-312018-02-232021-02-22경상북도 경주시 안강읍 호국로 2606-10054-760-6287
57㈜한화 보은사업장19991999-11-182017-11-182020-11-17충청북도 보은군 내북면 염둔리 111043-540-0363
68㈜한화 여수사업장19991999-12-132020-10-052023-10-04전라남도 여수시 신월로 411061-640-1576
79S&T 모티브㈜19991999-12-162020-08-162023-08-15부산광역시 기장군 철마면 여락송정로 363051-509-2419
810㈜풍산 부산사업장19991999-12-162017-12-162020-12-15부산광역시 해운대구 선수촌로 230051-520-8153
911한화디펜스㈜ 창원2사업장19991999-12-172020-08-012023-07-31경상남도 창원시 성산구 공단로 799055-280-6240
인증번호업체명인증년도최초인증유효기간(시작일)유효기간(종료일)소재지전화번호
174255㈜삼주기업20202020-02-112020-02-112023-02-10대구광역시 달서구 달서대로 64길 29(1공장), 25(2공장)053-581-5192
175256㈜비츠로밀텍20202020-02-242020-02-242023-02-23충남 천안시 동남구 풍세면 풍세산단로 58041-529-4000
176257선우정밀㈜20202020-03-022020-03-022023-03-01충북 음성군 대소면 내산길 21-13043-883-2616
177258㈜이디티20202020-03-272020-03-272023-03-26경상북도 구미시 1공단로 2길 38054-604-4274
178259태경농산㈜20202020-03-272020-03-272023-03-26경기도 안성시 미양면 제2공단 1길 3402-827-1774
179260㈜경일지엠씨20202020-04-102020-04-102023-04-09경남 밀양시 부북면 춘화농공단지길 12-30055-354-0558
180261㈜한화 창원공장20202020-06-222020-06-222023-06-21경상남도 창원시 성산구 공단로 799055-210-0803
181262주식회사 두원20202020-07-222020-07-222023-07-21경기도 포천시 영북면 호국로 3504080-707-0222
182263㈜플라이쿱20202020-08-032020-08-032020-08-02서울특별시 성동구 동일로 287 플라이쿱빌딩02-742-7542
183264㈜솔엠시스텍20202020-09-032020-09-032023-09-02경상남도 창원시 성산구 완암로 50, SK테크노파크 테크동 911~2호055-286-0357